Junior Data Engineer

Jobtailor; Deutschland; Hybrid; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a software/data engineer to develop, configure, and maintain application components, data pipelines, and REST API integrations in a remote or hybrid setup.

The role requires 3+ years in software development or data engineering, strong Python and SQL skills, and experience with version control, testing, and technical documentation. You will collaborate with analysts and product owners to deliver scalable data-driven solutions.

Qualifikationen

• Bachelor's degree in computer science, data science, information systems, software engineering, or similar.
• 3+ years of experience in software development, data engineering, or a closely related technical role.
• Proficiency in Python and SQL.
• Experience building or consuming REST APIs and working with JSON.
• Experience with Git-based version control and collaborative development workflows.
• Ability to read and work from written requirements, user stories, and acceptance criteria.
• Ability to produce clear technical documentation for stakeholders.
• Willingness to learn new platforms and tools including low-code environments.
• Capacity to work independently or in a remote or hybrid setting.
• Ability to obtain a Public Trust Clearance

Aufgaben

• Develop, configure, and maintain application components including intake forms, role-based dashboards, workflow routing, notifications, and audit logging
• Design, build, and maintain relational and list-based data structures supporting workflow routing, threshold logic, versioning, and historical reporting
• Build and maintain data pipelines to ingest, validate, transform, and load data from Excel, CSV, form submissions, and upstream enterprise systems
• Write, optimize, and troubleshoot SQL queries and stored logic for application functionality, reporting, and data quality checks
• Develop and support REST API integrations and JSON data exchanges between the application and enterprise systems
• Build reporting views, dashboards, and automated document or summary outputs for request status, SLA compliance, and enterprise performance metrics
• Translate business epics, user stories, and acceptance criteria into working functionality
• Participate in backlog refinement, estimation, sprint planning, and daily stand-ups
• Perform data validation, create and maintain test data, support unit and regression testing, and assist with defect triage and resolution
• Use Git-based version control and participate in peer code reviews, branching, merge practices, and deployment and release activities
• Produce and maintain technical documentation, including data dictionaries, schema and configuration documentation, and runbooks
• Support compliance with federal security, privacy, records management, and Section 508 accessibility requirements
• Collaborate with business analysts, product owners, testers, and client subject matter experts
• Communicate progress, risks, and blockers to the technical lead and project manager
• Stay current with development, data engineering, and platform capabilities

Kenntnisse

Python

SQL

REST APIs

Git

Data Modeling

Data Validation

Documentation

Collaboration

Problem-Solving

Understanding Requirements

Ausbildung

Bachelor's degree in CS/IS/SE or similar

Tools

REST APIs

JSON

Excel

CSV

Git

Low-Code Environments

Jobbeschreibung

• Develop, configure, and maintain application components including intake forms, role-based dashboards, workflow routing, notifications, and audit logging
• Design, build, and maintain relational and list-based data structures supporting workflow routing, threshold logic, versioning, and historical reporting
• Build and maintain data pipelines to ingest, validate, transform, and load data from Excel, CSV, form submissions, and upstream enterprise systems
• Write, optimize, and troubleshoot SQL queries and stored logic for application functionality, reporting, and data quality checks
• Develop and support REST API integrations and JSON data exchanges between the application and enterprise systems
• Build reporting views, dashboards, and automated document or summary outputs for request status, SLA compliance, and enterprise performance metrics
• Translate business epics, user stories, and acceptance criteria into working functionality
• Participate in backlog refinement, estimation, sprint planning, and daily stand-ups
• Perform data validation, create and maintain test data, support unit and regression testing, and assist with defect triage and resolution
• Use Git-based version control and participate in peer code reviews, branching, merge practices, and deployment and release activities
• Produce and maintain technical documentation, including data dictionaries, schema and configuration documentation, and runbooks
• Support compliance with federal security, privacy, records management, and Section 508 accessibility requirements
• Collaborate with business analysts, product owners, testers, and client subject matter experts
• Communicate progress, risks, and blockers to the technical lead and project manager
• Stay current with development, data engineering, and platform capabilities

Requirements

• Bachelor's degree in computer science, data science, information systems, software engineering, or similar
• 3+ years of experience in software development, data engineering, or a closely related technical role
• Internship, co-op, research, and substantive academic or personal project experience will be considered
• Proficiency in Python
• Proficiency in SQL, including working knowledge of relational database design and data modeling
• Experience building or consuming REST APIs and working with structured data formats such as JSON
• Experience with Git-based version control and collaborative development workflows
• Ability to read and work from written requirements, user stories, and acceptance criteria
• Ability to produce clear technical documentation and explain technical concepts to non-technical stakeholders
• Willingness and demonstrated ability to learn new platforms and tools quickly, including low-code development environments
• Capacity to work independently or collaboratively with a cross-functional team in a remote or hybrid setting
• Ability to obtain a Public Trust Clearance

Core Competencies

Proficient in developing and maintaining application components, data pipelines, and REST API integrations while ensuring compliance with security and accessibility standards. Strong ability to translate business requirements into functional solutions and produce clear technical documentation.

Highest-signal resume keywords

• Proficiency In Python
• Proficiency In SQL
• REST API Development
• Git-Based Version Control
• Data Validation And Testing

Hard Skills

• Application Development
• Data Engineering
• Relational Database Design
• Data Modeling
• Data Pipeline Development
• SQL Query Optimization
• Technical Documentation
• Workflow Routing
• Versioning
• Historical Reporting

Soft Skills

• Collaboration
• Communication
• Problem-Solving
• Adaptability
• Attention To Detail

Certifications & Qualifications

• Public Trust Clearance

Industry Keywords

• Agile Methodology
• Backlog Refinement
• SLA Compliance
• Data Quality Checks
• Section 508 Accessibility

Tools & Technologies

• REST APIs
• JSON
• Excel
• CSV
• Git
• Low-Code Development Environments